Two collocated AQY-R air quality monitoring sensors were installed at a monitoring site in East Hartford, Connecticut to evaluate its performance tracking gas, particulate and meteorology data over a year long time frame. Hourly data for O3, NO2, PM2.5, PM10, temperature and relative humidity were compared to reference monitors located at the same site. The full downloadable dataset used is located here Download CSV.
| Possible Configuration | Evaluated Configuration | Cost | Data Access | Power Supply | Considerations | Reference Monitors Compared |
|
Particulates: PM2.5, PM10 Gases: NO2, O3 Meteorology: Temp, RH, Dew Point |
Particulates: PM2.5, PM10 Gases: O3, NO2 Meteorology: Temp, RH, Dew Point |
Sensor: $4100 Power Supply: $96 Dashboard & Data Storage: $660 per year & sensor MOMA Calibration Service: $1360 per year & sensor |
Data downloads from dashboard, API Access, Communications over WiFi or Cellular (cellular plan purchase required) | AC Power (power supply sold separately), Solar option currently not available |
Time Resolution: 1 minute to 24 hour averaging time Dimensions: 350H x 225W x 265D mm Weight: 5 kg |
O3: Teledyne N400 NO2: Teledyne T500U PM2.5 & PM10: Teledyne API T640X Temp & RH: Climatronix & Vaisala via AutoMet 580 |
Two Aeroqual AQY-R sensors were installed at CT DEEP’s McAuliffe Park Ambient Air Monitoring Station for collocation. The AQY-R units were powered off station power, and data were transmitted to the Aeroqual dashboard over WiFi connection. CT DEEP accessed data through an API feed. Minute-averaged data were averaged into hour-intervals for comparison with regulatory O3, NO2, PM2.5, PM10, and meteorological instrumentation. Aeroqual’s MOMA (MoMent Matching) virtual calibration package was purchased for both sensors. Calibration factors specific to each gaseous pollutant and particulate matter are assessed and applied at the beginning of each calendar month (more information on MOMA available here) . Pre-calibrated data were included in timeseries plots and excluded from regression analysis to represent “best-case” sensor performance.
Aeroqual AQY-R hourly data for O3, NO2, PM2.5, PM10, temperature and relative humidity were compared by quarter to reference values (Q1: January-March, Q2: April-June, Q3: July-September, Q4: October-December).